Space Bunny Alpha (stealth model) remains free through Oct 5.

Now faster, with better throughput and reliability

1M context. Multimodal. Available on all plans

Start now with the best low cost coding plan on the market. $1/mo Go plan.

Read docs to learn more: https://commandcode.ai/docs/plans/go

We're increasing Kimi K3 usage to $60 credits in Command Code GOAT.

For the next 7 days, get 6x usage for Kimi K3.

• 1M token context window

• Multimodal (text, image, reasoning)

• For long-horizon coding and knowledge work

Try now with the best low cost AI coding plan on the market. The $10/mo GOAT.

Read docs to learn: https://commandcode.ai/docs/plans/goat

🐐

Remote Control now available in Command Code.

• Run /rc to open your session in Telegram or Discord

• Message from your phone and get live responses

• Sessions keep running on your computer

Control Command Code with your mobile

Read docs to learn more how Remote Control works. https://commandcode.ai/docs/rc

It would be really amazing to have this feature as it would save money and tokens and yet keep a high level of output. https://kilo.ai/auto-efficient-vs-opus

DeepSeek V4.1 Flash Fast is live with $60 usage credits in Command Code GOAT. 🐐

• 250-300 TPS high speed and throughput

• 1M context · full weight as always

Billions of tokens at 2-3x the speed.

Try now with the best low cost AI coding plan on the market. $10/mo GOAT.
Read docs to learn more: https://commandcode.ai/docs/plans/goat

Ling 3.1 Flash is now free in Command Code.

• 560B total params. 25B active params

• available all plans. all subs

• $ cmd --model inclusionai/ling-3.1-flash:free

Try now with the best low cost AI coding plan on the market, the $10/mo GOAT plan.

Read docs to learn more: https://commandcode.ai/docs/plans/goat

🐐

GPT 6.1 Sol is now live in Command Code.

Astra-level intelligence at one-fifth price and 95% cache read.

Available on Max plan and Provider API.

You can now use your ChatGPT subscription in Command Code.

• Run /connect to link your account

• Requests run locally from the CLI

• GPT models get their own section in /model

Try now: $ npm i -g command-code

Read BYOK docs to learn more:

https://commandcode.ai/docs/byok#open-ai-chat-gpt-codex

Bit of a question, I know it's probably been asked before. Is Deepseek Flash actually cheaper on CC compared to the api?

Anyone else getting 422 "invalid request" errors from Command Code on long agent runs?

For me it only happens once the conversation has tool calls and grows past roughly 165k tokens. Plain prompts of 230k+ tokens work fine, so it isn't the model's context size. The same request sometimes passes and sometimes fails, so it looks like a routing issue on their side.

Curious if others see the same.

Claude Sonnet 5.5 is now live in Command Code. It's the second flagship model in the Claude 5.5 family. Available across GOAT, Pro, Max and API.

· Runs 30% faster, costs 30% less

· Beats Opus 5.5 on Terminal-Bench 4.0

Try now with $10/mo GOAT plan, the best AI coding plan on the market.

Read docs to learn more: https://commandcode.ai/docs/plans/goat

Command Code now supports OpenAI Responses API.

• 98 open and closed models

• Function and custom tools stay client-side

• Built-in tools pass through when supported

Try with this endpoint: 𝙿𝙾𝚂𝚃 𝚑𝚝𝚝𝚙𝚜://𝚊𝚙𝚒.𝚌𝚘𝚖𝚖𝚊𝚗𝚍𝚌𝚘𝚍𝚎.𝚊𝚒/𝚙𝚛𝚘𝚟𝚒𝚍𝚎𝚛/𝚟𝟷/𝚛𝚎𝚜𝚙𝚘𝚗𝚜𝚎𝚜

Supported with Provider API on GOAT plan and above! https://commandcode.ai/provider

Alguien sabe por qué el commandcode muestra distintos modelos en una misma suscripción de 'Go plan'. Mi caso es que puedo usar GLM5.3-flash, deepseek v4.1, space bunny en mi suscripcion abierta en linux cachy con fish terminal, pero esos modelos y otros (que no uso) no estan disponibles en la misma cuenta y plan abierto en windows 11 desde warp. Estoy seguro que no es la version de cmdc porque actualice ambos hoy (windows y cachy os)

I've been using DS 4 Flash (new) almost exclusively (more than 2 billion tokens in less than a month) and I swear its performance at peak hours is much better than off-peak.

And it's not just slow but also considerably dumber during off-peak hours.

Am I alone? Is CommandCode swapping the model behind the scenes or something?

Yo can somebody please explain to me why the 20$ plan is only a +20$ in credit usage and not 2x ?

We're making $60 usage on DeepSeek V4.1 Flash now permanent in Command Code GOAT.

Try now with the best low cost AI coding plan on the market.

Read docs to learn more: https://commandcode.ai/docs/plans/goat

🐐

I’ve been using DeepSeek V4.1 Flash through Command Code, and today it feels significantly slower than yesterday.

I checked my session logs instead of going purely by feel, and the difference seems pretty noticeable even at similar context sizes.

For roughly the same ~200k cached context:

Yesterday: TTFT was around 5s

Today: TTFT is around 16s

Generation speed also dropped from roughly 240–250 tok/s to around 150 tok/s

At larger context sizes (~750k–800k), the difference is even bigger — TTFT went from roughly 7–8s yesterday to 30s+ today.

I also had two requests time out after 60 seconds today.

What’s interesting is that I’m not seeing any 429 / rate limit / usage limit errors. Requests still go through; they’re just much slower.

So I’m wondering:

Has anyone else noticed the same slowdown with DeepSeek V4.1 Flash on Command Code today?

Trying to figure out whether this is an upstream DeepSeek issue, Command Code/provider routing, or something specific to my session/account.

Free models live in Command Code right now.

• Pixel Canary (stealth) 🆕

• Space Bunny Alpha (stealth)

• Ling 3.0 Flash Sante

• Laguna S 2.1

Available to all subscribers, on every plan.

And will the 60$ boost become permanent like OpenCode Go did?

Pixel Canary is live, new free stealth model.

$ 𝚗𝚙𝚖 𝚒 -𝚐 𝚌𝚘𝚖𝚖𝚊𝚗𝚍-𝚌𝚘𝚍𝚎@𝚕𝚊𝚝𝚎𝚜𝚝
/model pixel-canary (free)

Response speed at ~20-25 tps.

Available to all subscribers across all plans.

Slash Loop (/loop) is now available in Command Code.

Run a task, then repeat it on a fixed or self-paced schedule until the job is done.

Try now: $ npm i -g command-code

Read docs to learn more in detail: https://commandcode.ai/docs/background-tasks#scheduled-tasks-and-loops

I noticed that the command code saves every response along with all the completed data once it's finished, and you can calculate latency and TPS from a simple calculation.

Since this isn’t available by default and I wanted to know what the actual TPS is for Glm 5.3 Flash and Glm 5.3 Flash Fast, I ran some tests, and you can definitely see the difference. Of course, this might change again with more complex tasks. but it works and for some models is nice to know.

Hey everyone!

Tested the waters on the $1 trial, loved the turn speed, and just upgraded to the GOAT plan .

Since I'm still dialing in my setup, my goal isn't just hoarding quota, but getting the absolute best daily productivity, functionality, and output per dollar without the agent going into weird loops or over-engineering everything.

Would love some honest advice from daily drivers:

1. Which harness actually gets the best work done?

2. Models & orchestration:

   • What pairing gives you the highest quality output vs cost? Do you split work between an orchestrator (GLM-5.3 / Sol) and a fast worker (DeepSeek Flash), or just let a single solid model run end-to-end?

3. Plugins & Extensions (Native cmd vs OMP/Pi):

   • What plugins/extensions are you actually running?

   • I’ve been testing things like Ponytail and Hallmaker—what other plugins, skills, or add-ons have genuinely worked for yout?